Evidence map›Paper›PMID 42801245›Full record

ReviewCureus2026

Reimagining the Intensive Care Unit as a Complex Adaptive System: A Systems Thinking Perspective.

Agnishikha Choudhury, Gitu Joshi, Saurabh Saigal, Abhijit P Pakhare, Ankur Joshi

Abstract readReview
In one paragraph

Review in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Agnishikha ChoudhuryCommunity and Family Medicine, All India Institute of Medical Sciences, Bhopal, Bhopal, IND.
Gitu JoshiAnesthesiology and Critical Care, Sudha Hospital and Medical Research Centre, Kota, IND.
Saurabh SaigalAnaesthesiology, All India Institute of Medical Sciences, Bhopal, Bhopal, IND.
Abhijit P PakhareCommunity and Family Medicine, All India Institute of Medical Sciences, Bhopal, Bhopal, IND.
Ankur JoshiCommunity and Family Medicine, All India Institute of Medical Sciences, Bhopal, Bhopal, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Modern intensive care units (ICUs) are highly complex environments characterized by dynamic interactions among patients, healthcare workers, technologies, logistics systems, administrative processes, and resource constraints. Traditional reductionist approaches to critical care often focus on isolated clinical variables and individual interventions, but may inadequately explain many persistent ICU challenges such as overcrowding, burnout, delayed discharges, healthcare-associated infections, and inefficient resource utilization. Systems thinking provides an alternative framework for understanding these interconnected and adaptive processes. This narrative review explores the ICU through the lens of systems thinking and conceptualizes critical care delivery as a complex adaptive system. Key systems concepts, including feedback loops, nonlinearity, delays, emergence, adaptation, and leverage points, are discussed in relation to ICU functioning. The review examines how these concepts influence major critical care domains including ICU occupancy, infection control, workforce dynamics, patient flow, logistics, antimicrobial stewardship, and healthcare costs. The potential utility of systems-based tools such as causal loop diagrams, stock-flow modelling, and system dynamics approaches in ICU analysis and decision-making is also discussed. Particular emphasis is placed on the emergence of system-level failures despite competent individual clinical care, highlighting the importance of understanding interactions rather than isolated events. Viewing the ICU as a complex adaptive system may provide deeper insights into operational inefficiencies, patient outcomes, and organizational resilience. Systems-informed critical care strategies can improve ICU performance by targeting interventions at high-leverage points. Integrating systems thinking into critical care practice, research, and policy may help develop more adaptive, efficient, and sustainable ICU systems.

Indexed as

complex adaptive systemscritical care unitshealthcare systemsintensive care unitsystem dynamicssystems thinking

Identifiers

PMID42801245
PMCPMC13615872

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.